「万字总结」- 我偷来了一份成为 Agent 工程师的学习线路
我之前面试了一家做 AI + web3 业内比较厉害的公司，但是没有通过吧，面试之后面试官给我了一份《Agent工程师入门指南》。我把它整理了一下，分享出来给大家提供参考，这是一份很详细很详细的、关于如何成为 Agent 工程师的文档，并且补充上我自己的学习心得当时给我的答复是 ...
Topic
#python
12 篇笔记
How to become a Robotics Engineer in 6 months (RESOURCES)
Robotics is the least crowded high-value skill in tech right nowThe problem is that almost nobody knows where to start, because the field lo...
How to Cut Agent Tokens by 2.7x (using an open harness)
Everything you need to understand where your agent's tokens actually go and what to do about it. It covers what a production harness owns be...
PaddleOCR-VL 服务问题排查与部署汇总
📝 摘要 本文汇总了 PaddleOCR-VL 服务在 vLLM 部署下的效果问题排查结论及完整部署方案。客户反馈 PaddleOCR-VL 丢失版面分析能力，根本原因是直接用 OpenAI SDK 裸调 vLLM 的 接口，只调用了 VLM 识别模型而绕过了版面分析模型 PP-DocLayoutV3。PaddleOCR-VL 的正确用法是两阶段 pipeline：版面分析 + VLM 识别。文…
TDD inside the agent loop - theater or actual value?
Notes from my Thoughtworks colleagues on AI-assisted software delivery
How Stripe Built Kai on Deep Agents in 1 Week
Learn how Stripe built Kai, a company-wide AI agent on LangChain, LangGraph, and Deep Agents, reaching 5,000 users in roughly 4 weeks.
A Swarm of Agents for Multi-Angle Analysis: Building a Team of Experts from LLMs
Not about speed. About making several agents with different viewpoints argue over one decision and reach a conclusion better than any of the...
vLLM + LMCache: A Starter Guide, No GPU Required
Get started easily: a single MacBook is all you need to develop vLLM + LMCacheFor New Contributors · Covering Frontend / L1 Eviction / L2 Storage / Observability If you ever skipped LMCache because you didn’t have a GPU on hand, this guide was written for you. LMCache’s multi-platform framework has already decoupled the GPU […]
Migrating LiteLLM to Rust - Building the Fastest and Litest AI Gateway
LiteLLM is moving its AI gateway to Rust: 15x throughput, 11x less memory, and sub-1ms per-request overhead. No v2, no migration, your config stays the same.
The 7 Types of Agent Memory: A Technical Guide for AI Engineers
Agent memory explained: the 7 types — working, semantic, episodic, procedural, retrieval, parametric, prospective — and when to build each.
Loop Driven Development, in practice
In Loop Driven Development I made an argument: when coding agents do the implementation, the engineering that matters moves to the feedback ...
2026年，普通人如何量化交易
原文作者：@gemchange_ltd原文链接：https://x.com/gemchange_ltd/status/2028904166895112617编译、注释与改写：Mr.RC, insiders.bot (@insidersdotbot) 创始人，@0xUClub前会长...